A New Procedure Based on Mutual Information for Fault Diagnosis of Industrial Systems

Abstract

The purpose of this article is to present a new procedure for industrial process diagnosis. This method is based on bayesian classifiers. A feature selection is done before the classification between the different faults of a process. The feature selection is based on a new result about mutual information that we demonstrate. The performances of this method… (More)